Bivalve shellfish consumption (ark shells, clams, cockles, and oysters) has increased over the last decades. Following this trend, infectious disease outbreaks associated with their consumption have been reported more frequently. Molluscs are a diverse group of organisms found wild and farmed. They are common on our tables, but unfortunately, despite their great taste, they can also pose a threat as a potential vector for numerous species of pathogenic microorganisms. Clams, in particular, might be filled with pathogens because of their filter-feeding diet. This specific way of feeding favors the accumulation of excessive amounts of pathogenic microorganisms like Vibrio spp., including Vibrio cholerae and V. parahaemolyticus, Pseudomonas aeruginosa, Escherichia coli, Arcobacter spp., and fecal coliforms, and intestinal enterococci. The problems of pathogen dissemination and disease outbreaks caused by exogenous bacteria in many geographical regions quickly became an unwanted effect of globalized food supply chains, global climate change, and natural pathogen transmission dynamics. Moreover, some pathogens like Shewanella spp., with high zoonotic potential, are spreading worldwide along with food transport. These bacteria, contained in food, are also responsible for the potential transmission of antibiotic-resistance genes to species belonging to the human microbiota. Finally, they end up in wastewater, thus colonizing new areas, which enables them to introduce new antibiotic-resistance genes (ARG) into the environment and extend the existing spectrum of ARGs already present in local biomes. Foodborne pathogens require modern methods of detection. Similarly, detecting ARGs is necessary to prevent resistance dissemination in new environments, thus preventing future outbreaks, which could threaten associated consumers and workers in the food processing industry.

Report: Ocean of changes - innovative educational activities in the field of Ocean Literacy

Climate change and associated modification of the ocean is a fact, however, it seems to be the most undervalued and little understood “pandemic” challenge of this century. We live in a world where environmental data is increasingly being amassed and models are generating finer scale and increasingly dense numbers of outputs, resulting in the production of high level scientific information on climate and ocean. However, the knowledge generated is often inaccessible, incomprehensible and misunderstood by society. Given that society has access to many levels of information through various forms of media, how do we better share this knowledge, and improve understanding of how society is impacting their immediate and remote surroundings and what behavioral changes are needed for reducing those impacts? In this paper, we assess the level of environmental and ocean awareness among young learners. We argue that, despite the wide range of environmental data available and a common use of a broad range of media, this group is not aware of or interested in climate related issues. This paper highlights the challenges in bringing researchers, data managers and educators together to provide consistent, up-to-date messages that can appeal to and can be understood by modern societies. It also highlights insufficiencies in environmental school education, including those concerning the “uncertainty” concept, which is a fundamental part of any scientific process. In identifying these challenges, we propose a pathway for improving societal knowledge on climate and ocean changes that takes advantage of the technological abilities for environmental data collection, storage and processing, global and regional research, as well as good practices in ocean literacy and climate and ocean education.

Large-scale climate changes influence the geographic distribution of biodiversity. Many taxa have been reported to extend or reduce their geographic range, move poleward or displace other species. However, for closely related species that can hybridize in the natural environment, displacement is not the only effect of changes of environmental variables. Another option is subtler, hidden expansion, which can be found using genetic methods only. The marine blue mussels Mytilus are known to change their geographic distribution despite being sessile animals. In addition to natural dissemination at larval phase—enhanced by intentional or accidental introductions and rafting—they can spread through hybridization and introgression with local congeners, which can create mixed populations sustaining in environmental conditions that are marginal for pure taxa. The Mytilus species have a wide distribution in coastal regions of the Northern and Southern Hemisphere. In this study, we investigated the inter-regional genetic differentiation of the Mytilus species complex at 53 locations in the North Atlantic and adjacent Arctic waters and linked this genetic variability to key local environmental drivers. Of seventy-nine candidate single nucleotide polymorphisms (SNPs), all samples were successfully genotyped with a subset of 54 SNPs. There was a clear interregional separation of Mytilus species. However, all three Mytilus species hybridized in the contact area and created hybrid zones with mixed populations. Boosted regression trees (BRT) models showed that inter-regional variability was important in many allele models but did not prevail over variability in local environmental factors. Local environmental variables described over 40% of variability in about 30% of the allele frequencies of Mytilus spp. For the 30% of alleles, variability in their frequencies was only weakly coupled with local environmental conditions. For most studied alleles the linkages between environmental drivers and the genetic variability of Mytilus spp. were random in respect to “coding” and “non-coding” regions. An analysis of the subset of data involving functional genes only showed that two SNPs at Hsp70 and ATPase genes correlated with environmental variables. Total predictive ability of the highest performing models (r2 between 0.550 and 0.801) were for alleles that discriminated most effectively M. trossulus from M. edulis and M. galloprovincialis, whereas the best performing allele model (BM101A) did the best at discriminating M. galloprovincialis from M. edulis and M. trossulus. Among the local environmental variables, salinity, water temperature, ice cover and chlorophyll a concentration were by far the greatest predictors, but their predictive performance varied among different allele models. In most cases changes in the allele frequencies along these environmental gradients were abrupt and occurred at a very narrow range of environmental variables. In general, regions of change in allele frequencies for M. trossulus occurred at 8–11 psu, 0–10 °C, 60%–70% of ice cover and 0–2 mg m−3 of chlorophyll a, M. edulis at 8–11 and 30–35 psu, 10–14 °C and 60%–70% of ice cover and for M. galloprovincialis at 30–35 psu, 14–20 °C.

The novel machine learning technique Random Forest (RF) was used to test if the genetic differentiation of populations of marine species may be related to any of the key environmental variables known to shape species distributions. The study was performed in North and Baltic Sea characterized by strong gradients of environmental factors and almost continuous distributions of Mytilus mussel populations. Assessment of the species identity was performed using four nuclear DNA markers, and previously published single nucleotide polymorphism (SNP) data. A general pattern of cline variation was observed with increasing Mytilus trossulus share towards the eastern Baltic Sea. Average allele share rose to 61% in Hoga Kusten, Gulf of Bothnia. All Baltic Sea samples revealed a strong introgression of Mytilus edulis and a limited introgression of M. trossulus through the Danish Straits. The studied environmental variables described 67 and 68% of the variability in the allele frequencies of M. edulis and M. trossulus. Salinity defined over 50% of the variability in the gene frequencies of the studied Mytilus spp. populations. Changes along this environmental gradient were not gradual but instead a significant shift from gene dominance was found at a salinity of 12 PSU. Water temperature and the trophic status of the sea area had only moderate association with the gene frequencies. The obtained results showed that the novel machine learning technique can be successfully used for finding correlations between genetic differentiation of populations and environmental variables and for defining the functional form of these linkages. (C) 2018 Institute of Oceanology of the Polish Academy of Sciences. Production and hosting by Elsevier Sp. z o.o.

The Ascaridoidea are parasites with heteroxenous life cycles. The study shows that fish can be paratenic, intermediate, or final hosts for parasites, and parasitic fauna reflects the feeding behavior of the hosts. Each species of parasites has also different environmental preferences and host specificity. Parasitic nematodes of fish representing Pleuronectidae, Gadidae, Sebastidae, and Macrouridae were studied. Worms were collected separately from different infection sites: stomach, intestine, liver and body cavity. Nematodes were identified using both morphological and molecular methods (PCR-RFLP). Six nematode species were recorded: Anisakis simplex s.s., Contracaecum osculatum A, B, and C. osculatum C (s.s), Hysterothylacium aduncum and Pseudoterranova bulbosa. Anisakis simplex s.s. was the most numerous nematode species of all catches combined. Differences in parasite species composition were related to the depth and location of sampling areas. In the fish from deep waters, the abundance of A. simplex s.s. decreased compared to fish from shallow waters and P. bulbosa was the dominant species. Ascaridoid species have specific preferences regarding the impact on various internal organs of fish, which is reflected in their abundance. The presence of Ascaridoidea in the Barents Sea is associated with the distribution of hosts and varying food preferences related to the age of fish. The abundance of parasites varied between different host species.

Domestic cats from Eastern Europe have been poorly represented in studies on mitochondrial DNA diversity for forensic purposes until now. The aim of the present study was to contribute to closing this gap. The genetic structure and the origin of a cat population in Poland were examined against the background of human migrations over the centuries. One hundred and eighty-one cats from animal shelters in seven cities were genotyped. Twenty-one mtDNA haplotypes were found, with only one haplotype present in each of the populations, at an average frequency of 63.54%, and 13 haplotypes being found only in single populations. The analysis revealed the unexpectedly high frequency of haplotype PL02, in previous studies observed only in single cats. Differences in the number of the haplotypes, from four to eight, were observed among the shelters. The findings are discussed with regard to a world-wide database of feline sequences and to the complicated history of Poland. The study underscores the necessity of creating local databases of haplotypes that are of high evidentiary value to the forensic investigations conducted in a given country.

Background. Substantial declines in biomass of Atlantic cod, Gadus morhua L., one of the most valuable commercial fish species in the north Atlantic (including the Baltic Sea), has been observed in recent decades. A comprehensive understanding of the population structure contributes to proper management and conservation of genetic resources. We attempted to answer the question whether there exists differentiation among localized samples, and if so, whether this separation is large enough to warrant the recognition of distinct clades in cod as well as whether these distinct clades correspond to traditionally described regions of spawning and nursery areas or even stocks. Materials and methods. Six microsatellites were used for finding differentiation between four sampling areas of G. morhua) from the Baltic Sea (Puck Bay, Bay of Gdańsk, Pomeranian Bay, and Øresund) and two from the north-eastern Atlantic (North Sea and Barents Sea). Genetic differences among localities were estimated with FST using Weir and Cockerham’s estimator θ. Genetic distances among samples were calculated and visualized by multidimensional scaling using XLStat (Addinsoft). Results. There is a statistically supported structure pattern among sampling localities from the Baltic Sea. One of them is related to the population from the Barents Sea, second is mixing with cod migrating from the North Sea. Conclusion. The level of heterozygosity and slight heterozygote deficiency suggest that, in case of all samples, we observed an isolation processes that could be an effect of withering or weakening the migrations between separate breeding stocks. This effect is most apparent for the most eastern populations from the Puck Bay and the Gulf of Gdańsk.

The genetic constitution of mussels (Mytilus spp.) was studied by means of three nuclear (Me 15/16, EF-bis, ITS) and one mtDNA (ND2-COIII) marker on a large European scale. In addition to a sharp cline between Atlantic and Mediterranean M. galloprovincialis, we observed a clear genetic distinction between the Black Sea and Mediterranean populations and a higher incidence of M. trossulus than reported so far in northern European populations. The frequency of M. galloprovincialis nuclear alleles was high along the Iberian Peninsula and decreased abruptly along the French coasts with a high frequency of M. edulis alleles in the Bay of Biscay, The Netherlands, Germany, Iceland, Barents and White Seas, and with little evidence of introgression between the two taxa. M. trossulus alleles were observed in the Baltic Sea and Danish Straits as expected. In addition, occurrence of M. trossulus alleles in cold waters of Iceland, Barents Sea and White Sea is reported for the first time.

The genetic composition of wild and cultured mussel populations from the Oosterschelde, The Netherlands, is compared to representative samples of mussel shipments from culture sites in Ireland and Great Britain. A total of 2272 mussels from 27 samples were assayed for the nuclear DNA markers Me 15/16, EFbis and M7. The three markers showed similar patterns of taxonomic consistency across the mussel samples. However, some variation between markers was observed. While, all samples were almost “pure” Mytilus edulis, nevertheless Dutch wild populations were more admixed with M. galloprovincialis and M. trossulus alleles than those from eastern Ireland, Wales and southern England. The mixed allele genotypes (hybrids) indicate the pre-existing occurrence of non-indigenous Mytilus taxa or natural introgression into Oosterschelde. Our results demonstrated that at the genetic level, there is no immediate threat from the introduction of nonindigenous Mytilus taxa through import from the studied sites in Ireland and Great Britain into the Oosterschelde. However, it is possible that with the import of mussels, M. galloprovincialis will be translocated, especially in the face of expected climate changes in the future.

A strong clinal change in salinity occurs between the Baltic Sea and the North Sea, Atlantic Ocean, in the Danish Straits, where hybridization zone between mussels Mytilus edulis and M. trossulus has been reported. Eleven samples of mussels were studied from the Danish Straits and the inner Baltic Sea. Extensive introgression of M. edulis alleles from the North Sea into populations throughout the Baltic was ascertained for mitochondrial DNA (mtDNA) and two nuclear markers (ME15–16 and ITS). In the opposite direction, introgression of M. trossulus alleles into the M. edulis background was observed at the EFbis nuclear marker in populations from Kattegat (Danish Straits). While only M. edulis F (female) mtDNA was present in the Baltic, there were still strong differences in frequencies in the control region length variants between the Danish Straits and the inner Baltic samples, and weaker variation in coding region ND2–COIII haplotype frequencies. In the assays of the two mtDNA regions, various patterns of heteroplasmy were detected in 32% of all the studied individual mussels; this includes the presence of distinct, independently inherited M and F mitochondria in males, as well as the presence of two different distinguishable F genomes. The male-inherited M mtDNA genomes are quite common in the mussels from the Danish Straits, but very rare in males from the inner Baltic. Instead, a recombined control region variant (1r), which seems to have taken over the role of the M genome, was present in a number of specimens in the Baltic. Observations of heteroplasmy for two F genomes in some females and males confirm disruptions of the doubly uniparental inheritance mechanism in the hybrid Baltic Mytilus .